Knowledge Acquisition Through Case-Based Adaptation for Hydraulic Power Machine Design. - Chi-Man Vong; Yi-Ping Li; Pak-Kin Wong 001 (ICEIS (2), 2003)

Data Transformation in Modern Petrol Engine Tune-up. - Chi-Man Vong; Pak-Kin Wong 001; Yi-Ping Li (LAPTEC, 2005)

Modelling and Prediction of Electronically Controlled Automotive Engine Power and Torque Using Support Vector Machines. - Pak-Kin Wong 001; Chi-Man Vong; Y. P. Li; Lap-Mou Tam (LAPTEC, 2005)

Prediction of automotive engine power and torque using least squares support vector machines and Bayesian inference. - Chi-Man Vong; Pak-Kin Wong 001; Yi-Ping Li (Eng. Appl. Artif. Intell., 2006)

Least Squares Support Vector Prediction for Daily Atmospheric Pollutant Level. - Weng-Fai Ip; Chi-Man Vong; J. Y. Yang; Pak-Kin Wong 001 (ACIS-ICIS, 2010)

Case-Based Classification System with Clustering for Automotive Engine Spark Ignition Diagnosis. - Chi-Man Vong; Pak-Kin Wong 001; Weng-Fai Ip (ACIS-ICIS, 2010)

Predictive Air-Ratio Controller for Automotive Engines Based on Online Neural Network: Design and Experimental Evaluation. - Pak-Kin Wong 001; Hang-Cheong Wong; Chi-Man Vong; Weng-Fai Ip (ACIS-ICIS, 2010)

Case-based adaptation for automotive engine electronic control unit calibration. - Chi-Man Vong; Pak-Kin Wong 001 (Expert Syst. Appl., 2010)

Simultaneous faults diagnosis for automotive ignition patterns. - Chi-Man Vong; Pak-Kin Wong 001; Weng-Fai Ip (ICMLC, 2011)

Case-based expert system using wavelet packet transform and kernel-based feature manipulation for engine ignition system diagnosis. - Chi-Man Vong; Pak-Kin Wong 001; Weng-Fai Ip (Eng. Appl. Artif. Intell., 2011)

Engine ignition signal diagnosis with Wavelet Packet Transform and Multi-class Least Squares Support Vector Machines. - Chi-Man Vong; Pak-Kin Wong 001 (Expert Syst. Appl., 2011)

Modelling and prediction of automotive engine airratio using relevance vector machine. - Pak-Kin Wong 001; Hang-Cheong Wong; Chi-Man Vong (ICARCV, 2012)

Rate-Dependent Hysteresis Modeling and Control of a Piezostage Using Online Support Vector Machine and Relevance Vector Machine. - Pak-Kin Wong 001; Qingsong Xu; Chi-Man Vong; Hang-Cheong Wong (IEEE Trans. Ind. Electron., 2012)

Inspection and control of vehicle emissions through Internet of Things and traffic lights. - Chi-Man Vong; Pak-Kin Wong 001; Ka In Wong; Zi-Qian Ma (ICCVE, 2013)

Modelling of diesel engine performance using advanced machine learning methods under scarce and exponential data set. - Ka In Wong; Pak-Kin Wong 001; Chun Shun Cheung; Chi-Man Vong (Appl. Soft Comput., 2013)

Extreme Learning Machines. - Erik Cambria; Guang-Bin Huang; Liyanaarachchi Lekamalage Chamara Kasun; Hongming Zhou; Chi-Man Vong; Jiarun Lin; Jianping Yin; Zhiping Cai; Qiang Liu 004; Kuan Li; Victor C. M. Leung; Liang Feng 001; et al. (IEEE Intell. Syst., 2013)

A New Framework of Simultaneous-Fault Diagnosis Using Pairwise Probabilistic Multi-Label Classification for Time-Dependent Patterns. - Chi-Man Vong; Pak-Kin Wong 001; Weng-Fai Ip (IEEE Trans. Ind. Electron., 2013)

Hybrid model predictive controller for engine air-ratio control. - Pak-Kin Wong 001; Hang-Cheong Wong; Tong Meng Iong; Chi-Man Vong (ICARCV, 2014)

Application of RFID technology and the maximum spanning tree algorithm for solving vehicle emissions in cities on Internet of Things. - Chi-Man Vong; Pak-Kin Wong 001; Zi-Qian Ma; Ka In Wong (WF-IoT, 2014)

Simultaneous-fault detection based on qualitative symptom descriptions for automotive engine diagnosis. - Chi-Man Vong; Pak-Kin Wong 001; Ka In Wong (Appl. Soft Comput., 2014)

Predicting minority class for suspended particulate matters level by extreme learning machine. - Chi-Man Vong; Weng-Fai Ip; Pak-Kin Wong 001; Chi-Chong Chiu (Neurocomputing, 2014)

Real-time fault diagnosis for gas turbine generator systems using extreme learning machine. - Pak-Kin Wong 001; Zhixin Yang 001; Chi-Man Vong; Jianhua Zhong (Neurocomputing, 2014)

Sparse Bayesian Extreme Learning Machine for Multi-classification. - Jiahua Luo; Chi-Man Vong; Pak-Kin Wong 001 (IEEE Trans. Neural Networks Learn. Syst., 2014)

Local Receptive Fields Based Extreme Learning Machine. - Guang-Bin Huang; Zuo Bai; Liyanaarachchi Lekamalage Chamara Kasun; Chi-Man Vong (IEEE Comput. Intell. Mag., 2015)

Imbalanced Learning for Air Pollution by Meta-Cognitive Online Sequential Extreme Learning Machine. - Chi-Man Vong; Weng-Fai Ip; Chi-Chong Chiu; Pak-Kin Wong 001 (Cogn. Comput., 2015)

Sparse Bayesian extreme learning machine and its application to biofuel engine performance prediction. - Ka In Wong; Chi-Man Vong; Pak-Kin Wong 001; Jiahua Luo (Neurocomputing, 2015)

Fast and accurate face detection by sparse Bayesian extreme learning machine. - Chi-Man Vong; Keng Iam Tai; Chi-Man Pun; Pak-Kin Wong 001 (Neural Comput. Appl., 2015)

An Analytical Study on Reasoning of Extreme Learning Machine for Classification from Its Inductive Bias. - Pak-Kin Wong 001; Xiang Hui Gao; Ka In Wong; Chi-Man Vong (Cogn. Comput., 2016)

Adaptive control of rapidly time-varying discrete-time system using initial-training-free online extreme learning machine. - Xiang Hui Gao; Ka In Wong; Pak-Kin Wong 001; Chi-Man Vong (Neurocomputing, 2016)

Advances in extreme learning machines (ELM2014). - Amaury Lendasse; Chi-Man Vong; Yoan Miche; Guang-Bin Huang (Neurocomputing, 2016)

Sparse Bayesian extreme learning committee machine for engine simultaneous fault diagnosis. - Pak-Kin Wong 001; Jianhua Zhong; Zhixin Yang 001; Chi-Man Vong (Neurocomputing, 2016)

Ensemble extreme learning machine and sparse representation classification. - Jiuwen Cao; Jiaoping Hao; Xiaoping Lai; Chi-Man Vong; Minxia Luo (J. Frankl. Inst., 2016)

Fast detection of impact location using kernel extreme learning machine. - Heming Fu; Chi-Man Vong; Pak-Kin Wong 001; Zhixin Yang 001 (Neural Comput. Appl., 2016)

Model predictive engine air-ratio control using online sequential extreme learning machine. - Pak-Kin Wong 001; Hang-Cheong Wong; Chi-Man Vong; Zhengchao Xie; Shaojia Huang (Neural Comput. Appl., 2016)

Unsupervised 3D Local Feature Learning by Circle Convolutional Restricted Boltzmann Machine. - Zhizhong Han; Zhenbao Liu; Junwei Han 001; Chi-Man Vong; Shuhui Bu; Xuelong Li 001 (IEEE Trans. Image Process., 2016)

Cascaded re-ranking modelling of translation hypotheses using extreme learning machines. - Chi-Man Vong; Yan Liu; Jiuwen Cao; Chun Yin (Appl. Soft Comput., 2017)

Extreme Learning Machine for Huge Hypotheses Re-ranking in Statistical Machine Translation. - Yan Liu; Chi-Man Vong; Pak-Kin Wong 001 (Cogn. Comput., 2017)

Advances in extreme learning machines (ELM2015). - Amaury Lendasse; Chi-Man Vong; Kar-Ann Toh; Yoan Miche; Guang-Bin Huang (Neurocomputing, 2017)

A novel meta-cognitive fuzzy-neural model with backstepping strategy for adaptive control of uncertain nonlinear systems. - Hai-Jun Rong; Zhao-Xu Yang; Pak-Kin Wong 001; Chi-Man Vong; Guang-She Zhao (Neurocomputing, 2017)

Encrypted image classification based on multilayer extreme learning machine. - Weiru Wang 001; Chi-Man Vong; Yilong Yang 001; Pak-Kin Wong 001 (Multidimens. Syst. Signal Process., 2017)

Efficient shape classification using region descriptors. - Cong Lin 001; Chi-Man Pun; Chi-Man Vong; Don Adjeroh (Multim. Tools Appl., 2017)

Post-boosting of classification boundary for imbalanced data using geometric mean. - Jie Du 001; Chi-Man Vong; Chi-Man Pun; Pak-Kin Wong 001; Weng-Fai Ip (Neural Networks, 2017)

Capturing High-Discriminative Fault Features for Electronics-Rich Analog System via Deep Learning. - Zhenbao Liu; Zhen Jia; Chi-Man Vong; Shuhui Bu; Junwei Han 001; Xiaojun Tang (IEEE Trans. Ind. Informatics, 2017)

BoSCC: Bag of Spatial Context Correlations for Spatially Enhanced 3D Shape Representation. - Zhizhong Han; Zhenbao Liu; Chi-Man Vong; Yu-Shen Liu; Shuhui Bu; Junwei Han 001; C. L. Philip Chen (IEEE Trans. Image Process., 2017)

Mesh Convolutional Restricted Boltzmann Machines for Unsupervised Learning of Features With Structure Preservation on 3-D Meshes. - Zhizhong Han; Zhenbao Liu; Junwei Han 001; Chi-Man Vong; Shuhui Bu; Chun-Lung Philip Chen (IEEE Trans. Neural Networks Learn. Syst., 2017)

DAliM: Machine Learning Based Intelligent Lucky Money Determination for Large-Scale E-Commerce Businesses. - Min Fu 001; Chi Man Wong; Hai Zhu; Yanjun Huang; Yuanping Li; Xi Zheng 001; Jia Wu 001; Jian Yang 001; Chi-Man Vong (ICSOC, 2018)

A Patent Analysis of Prognostics and Health Management (PHM) Innovations for Electrical Systems. - Zhenbao Liu; Zhen Jia; Chi-Man Vong; Junwei Han 001; Chenggang Yan 001; Michael G. Pecht (IEEE Access, 2018)

Empirical kernel map-based multilayer extreme learning machines for representation learning. - Chi-Man Vong; Chuangquan Chen; Pak-Kin Wong 001 (Neurocomputing, 2018)

Online extreme learning machine based modeling and optimization for point-by-point engine calibration. - Pak-Kin Wong 001; Xiang Hui Gao; Ka In Wong; Chi-Man Vong (Neurocomputing, 2018)

An intelligent propagation distance estimation algorithm based on fundamental frequency energy distribution for periodic vibration localization. - Jiuwen Cao; Tianlei Wang; Luming Shang; Xiaoping Lai; Chi-Man Vong; Badong Chen (J. Frankl. Inst., 2018)

Efficient point-by-point engine calibration using machine learning and sequential design of experiment strategies. - Pak-Kin Wong 001; Xiang Hui Gao; Ka In Wong; Chi-Man Vong (J. Frankl. Inst., 2018)

Efficient extreme learning machine via very sparse random projection. - Chuangquan Chen; Chi-Man Vong; Chiman Wong; Weiru Wang 001; Pak-Kin Wong 001 (Soft Comput., 2018)

Deep Spatiality: Unsupervised Learning of Spatially-Enhanced Global and Local 3D Features by Deep Neural Network With Coupled Softmax. - Zhizhong Han; Zhenbao Liu; Chi-Man Vong; Yu-Shen Liu; Shuhui Bu; Junwei Han 001; C. L. Philip Chen (IEEE Trans. Image Process., 2018)

Postboosting Using Extended G-Mean for Online Sequential Multiclass Imbalance Learning. - Chi-Man Vong; Jie Du 001; Chiman Wong; Jiuwen Cao (IEEE Trans. Neural Networks Learn. Syst., 2018)

Kernel-Based Multilayer Extreme Learning Machines for Representation Learning. - Chiman Wong; Chi-Man Vong; Pak-Kin Wong 001; Jiuwen Cao (IEEE Trans. Neural Networks Learn. Syst., 2018)

An Enhanced Hierarchical Extreme Learning Machine with Random Sparse Matrix Based Autoencoder. - Tianlei Wang; Xiaoping Lai; Jiuwen Cao; Chi-Man Vong; Badong Chen (ICASSP, 2019)

3DViewGraph: Learning Global Features for 3D Shapes from A Graph of Unordered Views with Attention. - Zhizhong Han; Xiyang Wang 001; Chi-Man Vong; Yu-Shen Liu; Matthias Zwicker; C. L. Philip Chen (IJCAI, 2019)

Real-Time Response-Based Fault Analysis and Prognostics Techniques of Nonisolated DC-DC Converters. - Zhen Jia; Zhenbao Liu; Chi-Man Vong; Xin Liu (IEEE Access, 2019)

A Rotating Machinery Fault Diagnosis Method Based on Feature Learning of Thermal Images. - Zhen Jia; Zhenbao Liu; Chi-Man Vong; Michael G. Pecht (IEEE Access, 2019)

Scale adaptive image cropping for UAV object detection. - Jingkai Zhou; Chi-Man Vong; Qiong Liu 006; Zhenyu Wang 001 (Neurocomputing, 2019)

Initial-training-free online sequential extreme learning machine based adaptive engine air-fuel ratio control. - Pak-Kin Wong 001; Xiang Hui Gao; Ka In Wong; Chi-Man Vong; Zhi-Xin Yang 001 (Int. J. Mach. Learn. Cybern., 2019)

Unsupervised Learning of 3-D Local Features From Raw Voxels Based on a Novel Permutation Voxelization Strategy. - Zhizhong Han; Zhenbao Liu; Junwei Han 001; Chi-Man Vong; Shuhui Bu; C. L. Philip Chen (IEEE Trans. Cybern., 2019)

3D2SeqViews: Aggregating Sequential Views for 3D Global Feature Learning by CNN With Hierarchical Attention Aggregation. - Zhizhong Han; Honglei Lu; Zhenbao Liu; Chi-Man Vong; Yu-Shen Liu; Matthias Zwicker; Junwei Han 001; C. L. Philip Chen (IEEE Trans. Image Process., 2019)

SeqViews2SeqLabels: Learning 3D Global Features via Aggregating Sequential Views by RNN With Attention. - Zhizhong Han; Mingyang Shang; Zhenbao Liu; Chi-Man Vong; Yu-Shen Liu; Matthias Zwicker; Junwei Han 001; C. L. Philip Chen (IEEE Trans. Image Process., 2019)

Efficient Outdoor 3D Point Cloud Semantic Segmentation for Critical Road Objects and Distributed Contexts. - Chi-Chong Wong; Chi-Man Vong (ECCV (27), 2020)

Supervised Extreme Learning Machine-Based Auto-Encoder for Discriminative Feature Learning. - Jie Du 001; Chi-Man Vong; Chuangquan Chen; Peng Liu 070; Zhenbao Liu (IEEE Access, 2020)

Intelligent diagnosis of gastric intestinal metaplasia based on convolutional neural network and limited number of endoscopic images. - Tao Yan 006; Pak-Kin Wong 001; I. Cheong Choi; Chi-Man Vong; Hon Ho Yu (Comput. Biol. Medicine, 2020)

Extreme semi-supervised learning for multiclass classification. - Chuangquan Chen; Yanfen Gan; Chi-Man Vong (Neurocomputing, 2020)

Novel up-scale feature aggregation for object detection in aerial images. - Hu Lin; Jingkai Zhou; Yanfen Gan; Chi-Man Vong; Qiong Liu 006 (Neurocomputing, 2020)

SCNet: Scale-aware coupling-structure network for efficient video object detection. - Fengchao Wang; Zhewei Xu; Yanfen Gan; Chi-Man Vong; Qiong Liu 006 (Neurocomputing, 2020)

Tracking objects with partial occlusion by background alignment. - Feng Wu 004; Chi-Man Vong; Qiong Liu 006 (Neurocomputing, 2020)

Homo-ELM: fully homomorphic extreme learning machine. - Weiru Wang 001; Yanfen Gan; Chi-Man Vong; Chuangquan Chen (Int. J. Mach. Learn. Cybern., 2020)

Approximate empirical kernel map-based iterative extreme learning machine for clustering. - Chuangquan Chen; Chi-Man Vong; Pak-Kin Wong 001; Keng Iam Tai (Neural Comput. Appl., 2020)

Adaptive neural tracking control for automotive engine idle speed regulation using extreme learning machine. - Pak-Kin Wong 001; Wei Huang; Chi-Man Vong; Zhixin Yang 001 (Neural Comput. Appl., 2020)

Accurate and efficient sequential ensemble learning for highly imbalanced multi-class data. - Chi-Man Vong; Jie Du 001 (Neural Networks, 2020)

Robust Online Multilabel Learning Under Dynamic Changes in Data Distribution With Labels. - Jie Du 001; Chi-Man Vong (IEEE Trans. Cybern., 2020)

Efficient Outdoor Video Semantic Segmentation Using Feedback-Based Fully Convolution Neural Network. - Chi-Chong Wong; Yanfen Gan; Chi-Man Vong (IEEE Trans. Ind. Informatics, 2020)

Persistent Homology based Graph Convolution Network for Fine-grained 3D Shape Segmentation. - Chi-Chong Wong; Chi-Man Vong (ICCV, 2021)

Improving Conversational Recommender System by Pretraining Billion-scale Knowledge Graph. - Chi-Man Wong; Fan Feng; Wen Zhang 015; Chi-Man Vong; Hui Chen 018; Yichi Zhang 009; Peng He; Huan Chen; Kun Zhao; Huajun Chen (ICDE, 2021)

An Inverse-Free and Scalable Sparse Bayesian Extreme Learning Machine for Classification Problems. - Jiahua Luo; Chi-Man Vong; Zhenbao Liu; Chuangquan Chen (IEEE Access, 2021)

A multi-feature fusion method for image recognition of gastrointestinal metaplasia (GIM). - Hongyan Li; Chi-Man Vong; Pak-Kin Wong 001; Weng-Fai Ip; Tao Yan 006; I. Cheong Choi; Hon Ho Yu (Biomed. Signal Process. Control., 2021)

Improving Conversational Recommendation System by Pretraining on Billions Scale of Knowledge Graph. - Chiman Wong; Fan Feng; Wen Zhang 015; Chi-Man Vong; Hui Chen 018; Yichi Zhang 010; Peng He; Huan Chen; Kun Zhao; Huajun Chen (CoRR, 2021)

Sparse Bayesian Learning with Diagonal Quasi-Newton Method For Large Scale Classification. - Jiahua Luo; Chi-Man Vong; Jie Du 001 (CoRR, 2021)

Light-weight network for real-time adaptive stereo depth estimation. - Wanshui Gan; Pak-Kin Wong 001; Guokuan Yu; Rongchen Zhao; Chi-Man Vong (Neurocomputing, 2021)

Scalable and memory-efficient sparse learning for classification with approximate Bayesian regularization priors. - Jiahua Luo; Yanfen Gan; Chi-Man Vong; Chi-Man Wong; Chuangquan Chen (Neurocomputing, 2021)

Multinomial Bayesian extreme learning machine for sparse and accurate classification model. - Jiahua Luo; Chiman Wong; Chi-Man Vong (Neurocomputing, 2021)

Jointly evolving and compressing fuzzy system for feature reduction and classification. - Hui Huang; Hai-Jun Rong; Zhao-Xu Yang; Chi-Man Vong (Inf. Sci., 2021)

Novel Efficient RNN and LSTM-Like Architectures: Recurrent and Gated Broad Learning Systems and Their Applications for Text Classification. - Jie Du 001; Chi-Man Vong; C. L. Philip Chen (IEEE Trans. Cybern., 2021)

A Deep Forest-Based Fault Diagnosis Scheme for Electronics-Rich Analog Circuit Systems. - Zhen Jia; Zhenbao Liu; Yanfen Gan; Chi-Man Vong; Michael G. Pecht (IEEE Trans. Ind. Electron., 2021)

Ground Plane Context Aggregation Network for Day-and-Night on Vehicular Pedestrian Detection. - Zhewei Xu; Chi-Man Vong; Chi-Chong Wong; Qiong Liu 006 (IEEE Trans. Intell. Transp. Syst., 2021)

Scale-adaptive super-feature based MetricUNet for brain tumor segmentation. - Yujian Liu; Jie Du 001; Chi-Man Vong; Guanghui Yue 001; Juan Yu; Yuli Wang; Baiying Lei; Tianfu Wang 001 (Biomed. Signal Process. Control., 2022)

A Novel Multiple Feature-Based Engine Knock Detection System using Sparse Bayesian Extreme Learning Machine. - Zhao-Xu Yang; Hai-Jun Rong; Pak Kin Wong 001; Plamen Angelov 001; Chi-Man Vong; Chi-Chong Chiu; Zhi-Xin Yang 001 (Cogn. Comput., 2022)

Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) with Diverse Inter-Correlations and its application to medical image classification. - Qi Lai; Jianhang Zhou; Yanfen Gan; Chi-Man Vong; Deshuang Huang (CoRR, 2022)

A Novel Copy-Move Forgery Detection Algorithm via Feature Label Matching and Hierarchical Segmentation Filtering. - Yanfen Gan; Junliu Zhong; Chi-Man Vong (Inf. Process. Manag., 2022)

Recursive least mean dual p-power solution to the generalization of evolving fuzzy system under multiple noises. - Hui Huang; Hai-Jun Rong; Zhao-Xu Yang; Chi-Man Vong (Inf. Sci., 2022)

Easy Domain Adaptation for cross-subject multi-view emotion recognition. - Chuangquan Chen; Chi-Man Vong; Shitong Wang 001; Hongtao Wang 001; Miaoqi Pang (Knowl. Based Syst., 2022)

Multi-scale Multi-instance Multi-feature Joint Learning Broad Network (M3JLBN) for gastric intestinal metaplasia subtype classification. - Qi Lai; Chi-Man Vong; Pak-Kin Wong 001; Shitong Wang 001; Tao Yan 006; I. Cheong Choi; Hon Ho Yu (Knowl. Based Syst., 2022)

Effective and efficient pixel-level detection for diverse video copy-move forgery types. - Junliu Zhong; Yanfen Gan; Chi-Man Vong; Ji-Xiang Yang; Jing-Hong Zhao; Jiahua Luo (Pattern Recognit., 2022)

Fuzzy KNN Method With Adaptive Nearest Neighbors. - Zekang Bian; Chi-Man Vong; Pak-Kin Wong 001; Shitong Wang 001 (IEEE Trans. Cybern., 2022)

Dynamic Network Structure: Doubly Stacking Broad Learning Systems With Residuals and Simpler Linear Model Transmission. - Runshan Xie; Chi-Man Vong; C. L. Philip Chen; Shitong Wang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Fast Training of Adversarial Deep Fuzzy Classifier by Downsizing Fuzzy Rules With Gradient Guided Learning. - Suhang Gu; Chi-Man Vong; Pak-Kin Wong 001; Shitong Wang 001 (IEEE Trans. Fuzzy Syst., 2022)

Feature-Based Direct Tracking and Mapping for Real-Time Noise-Robust Outdoor 3D Reconstruction Using Quadcopters. - Chi-Chong Wong; Chi-Man Vong; Xinyu Jiang; Yimin Zhou 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Graph based Label Enhancement for Multi-instance Multi-label learning. - Houcheng Su; Jintao Huang; Daixian Liu; Rui Yan; Jiao Li; Chi-Man Vong (CoRR, 2023)

Towards Precise Weakly Supervised Object Detection via Interactive Contrastive Learning of Context Information. - Lai Qi; Chi-Man Vong (CoRR, 2023)

DC-DC Buck circuit fault diagnosis with insufficient state data based on deep model and transfer strategy. - Zhen Jia; Zhenbao Liu; Chi-Man Vong; Shengdong Wang; Yongyi Cai (Expert Syst. Appl., 2023)

A Fully Interpretable First-Order TSK Fuzzy System and Its Training With Negative Entropic and Rule-Stability-Based Regularization. - Erhao Zhou; Chi-Man Vong; Yusuke Nojima; Shitong Wang 001 (IEEE Trans. Fuzzy Syst., 2023)

Parameter-Free Loss for Class-Imbalanced Deep Learning in Image Classification. - Jie Du 001; Yanhong Zhou; Peng Liu 070; Chi-Man Vong; Tianfu Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

A novel sequential structure for lightweight multi-scale feature learning under limited available images. - Peng Liu 070; Jie Du 001; Chi-Man Vong (Neural Networks, 2023)

Online Label Distribution Learning Using Random Vector Functional-Link Network. - Jintao Huang; Chi-Man Vong; Wenbin Qian; Qin Huang; Yimin Zhou 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Multi-graph embedding for partial label learning. - Hongyan Li; Chi-Man Vong; Zhonglin Wan (Neural Comput. Appl., 2023)

Joint Label Enhancement and Label Distribution Learning via Stacked Graph Regularization-Based Polynomial Fuzzy Broad Learning System. - Jintao Huang; Chi-Man Vong; Guangtai Wang; Wenbin Qian; Yimin Zhou 001; C. L. Philip Chen (IEEE Trans. Fuzzy Syst., 2023)

Multi-Label Feature Selection via Label Enhancement and Analytic Hierarchy Process. - Jintao Huang; Wenbin Qian; Chi-Man Vong; Weiping Ding 001; Wenhao Shu; Qin Huang (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Fast AUC Maximization Learning Machine With Simultaneous Outlier Detection. - Yichen Sun; Chi-Man Vong; Shitong Wang 001 (IEEE Trans. Cybern., 2023)

NRSTRNet: A Novel Network for Noise-Robust Scene Text Recognition. - Hongwei Yue; Yufeng Huang; Chi-Man Vong; Yingying Jin; Zhiqiang Zeng; Mingqi Yu; Chuangquan Chen (Int. J. Comput. Intell. Syst., 2023)

Accurate and Efficient Large-Scale Multi-Label Learning With Reduced Feature Broad Learning System Using Label Correlation. - Jintao Huang; Chi-Man Vong; C. L. Philip Chen; Yimin Zhou 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

WAGL: Extreme Weather Adaptive Method for Robust and Generalizable UAV-based Cross-View Geo-localization. - Jian Sun 010; Xinyu Jiang; Xin Xu; Chi-Man Vong (UAVM, 2024)

Boosting Few-Shot Semantic Segmentation Via Segment Anything Model. - Chen-Bin Feng; Qi Lai; Kangdao Liu; Houcheng Su; Chi-Man Vong (CoRR, 2024)

Weakly-supervised Semantic Segmentation via Dual-stream Contrastive Learning of Cross-image Contextual Information. - Qi Lai; Chi-Man Vong (CoRR, 2024)

Spatial-Aware Conformal Prediction for Trustworthy Hyperspectral Image Classification. - Kangdao Liu; Tianhao Sun; Hao Zeng 005; Yongshan Zhang; Chi-Man Pun; Chi-Man Vong (CoRR, 2024)

Billion-scale pre-trained knowledge graph model for conversational chatbot. - Chi-Man Wong; Fan Feng; Wen Zhang 015; Huajun Chen; Chi-Man Vong; Chuangquan Chen (Neurocomputing, 2024)

Stream label distribution learning processing via broad learning system. - Guangtai Wang; Jintao Huang; Chi-Man Vong (Inf. Sci., 2024)

Federated learning using model projection for multi-center disease diagnosis with non-IID data. - Jie Du 001; Wei Li; Peng Liu 070; Chi-Man Vong; Yongke You; Baiying Lei; Tianfu Wang 001 (Neural Networks, 2024)

The MorPhEMe Machine: An Addressable Neural Memory for Learning Knowledge-Regularized Deep Contextualized Chinese Embedding. - Zhibin Quan; Chi-Man Vong; Weili Zeng; Wankou Yang (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Label correlations-based multi-label feature selection with label enhancement. - Wenbin Qian; Yinsong Xiong; Weiping Ding 001; Jintao Huang; Chi-Man Vong (Eng. Appl. Artif. Intell., 2024)

Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) With Diverse Inter-Correlations and Its Application to Medical Image Classification. - Qi Lai; Jianhang Zhou; Yanfen Gan; Chi-Man Vong; C. L. Philip Chen (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Internally and Generatively Decorrelated Ensemble of First-Order Takagi-Sugeno-Kang Fuzzy Regressors With Quintuply Diversity Guarantee. - Erhao Zhou; Chi-Man Vong; Yusuke Nojima; Shitong Wang 001 (IEEE Trans. Fuzzy Syst., 2024)

DDIO-Mapping: A Fast and Robust Visual-Inertial Odometry for Low-Texture Environment Challenge. - Xinyu Jiang; Heng Li; Chuangquan Chen; Yongquan Chen; Junlang Huang; Zuguang Zhou; Yimin Zhou 001; Chi-Man Vong (IEEE Trans. Ind. Informatics, 2024)

Multilayer Stacked Evolving Fuzzy System Combined With Compressed Representation Learning. - Hui Huang; Hai-Jun Rong; Zhao-Xu Yang; Chi-Man Vong (IEEE Trans. Fuzzy Syst., 2024)

Doubly Interpretable Fuzzy Apriori Classifier by Successive Stacking and One-Step Wide Calculation. - Runshan Xie; Chi-Man Vong; Shitong Wang 001 (IEEE Trans. Fuzzy Syst., 2024)

Class-Incremental Learning Method With Fast Update and High Retainability Based on Broad Learning System. - Jie Du 001; Peng Liu 070; Chi-Man Vong; Chuangquan Chen; Tianfu Wang 001; C. L. Philip Chen (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multi-kernel partial label learning using graph contrast disambiguation. - Hongyan Li; Zhonglin Wan; Chi-Man Vong (Appl. Intell., 2024)

Weakly Supervised Semantic Segmentation via Dual-Stream Contrastive Learning of Cross-Image Contextual Information. - Qi Lai; Chi-Man Vong; Chuangquan Chen (IEEE Trans. Ind. Informatics, 2024)

An Adaptive Deep Metric Learning Loss Function for Class-Imbalance Learning via Intraclass Diversity and Interclass Distillation. - Jie Du 001; Xiaoci Zhang; Peng Liu 070; Chi-Man Vong; Tianfu Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Fast Broad Multiview Multi-Instance Multilabel Learning (FBM3L) With Viewwise Intercorrelation. - Qi Lai; Chi-Man Vong; Jianhang Zhou; Yimin Zhou 001; C. L. Philip Chen (IEEE Trans. Neural Networks Learn. Syst., 2024)

GBRIP: Granular Ball Representation for Imbalanced Partial Label Learning. - Jintao Huang; Yiu-ming Cheung; Chi-Man Vong; Wenbin Qian (AAAI, 2025)

Beyond Completion: A Foundation Model for General Knowledge Graph Reasoning. - Yin Hua; Zhiqiang Liu; Mingyang Chen; Zheng Fang; Chi Man Wong; Lingxiao Li; Chi-Man Vong; Huajun Chen; Wen Zhang 015 (ACL (Findings), 2025)

Towards Fully Test-Time Adaptation via Variance Balancing and Semantic Augmentation. - Houcheng Su; Bingli Wang; Daixian Liu; Jiao Li; Chen-Bin Feng; Chi-Man Vong (ICASSP, 2025)

A new glass segmentation network with indoor and outdoor panoramic images. - Qingling Chang; Xiaofei Meng; Yan Cui; Chi-Man Vong; Chuangquan Chen (Appl. Soft Comput., 2025)

Unpaired to paired data synthesis and generative ensemble network for smudged image restoration. - Chen-Bin Feng; Kangdao Liu; Jian Sun 010; Qi Lai; Jiping Jin; Houcheng Su; Guangtai Wang; Chi-Man Vong (Appl. Soft Comput., 2025)

FACNet: Feature Alignment Fast Point Cloud Completion Network. - Xinxing Yu; Jianyi Li; Chi-Chong Wong; Chi-Man Vong; Yanyan Liang 001 (Comput. Vis. Media, 2025)

Hybrid multiple instance learning network for weakly supervised medical image classification and localization. - Qi Lai; Chi-Man Vong; Tao Yan 006; Pak-Kin Wong 001; Xiaokun Liang (Expert Syst. Appl., 2025)

Complexity-optimized sparse Bayesian learning for scalable classification tasks. - Jiahua Luo; Junyang Chen; Junyi Xiang; Chi-Man Wong; Chi-Man Vong (Inf. Sci., 2025)

Analytical selection of hidden parameters through expanded enhancement matrix stability for functional-link neural networks and broad learning systems. - Yuchen Li; Chi-Man Vong; C. L. Philip Chen; Shitong Wang 001 (Knowl. Based Syst., 2025)

Dealing with partial labels by knowledge distillation. - Guangtai Wang; Jintao Huang; Yiqiang Lai; Chi-Man Vong (Pattern Recognit., 2025)

An Incremental Learning Framework for Mechanical Fault Diagnosis With Bi-Level Multiscale Convolutional Attention. - Zhen Jia; Zhenbao Liu; Guoyu Yao; Kai Wang 086; Chi-Man Vong (IEEE Trans. Instrum. Meas., 2025)

Context-CAM: Context-Level Weight-Based CAM With Sequential Denoising to Generate High-Quality Class Activation Maps. - Jie Du 001; Wenbing Chen; Chi-Man Vong; Peng Liu 070; Tianfu Wang 001 (IEEE Trans. Image Process., 2025)

Comprehensive Multisource Learning Network for Cross-Subject Multimodal Emotion Recognition. - Chuangquan Chen; Zhencheng Li; Kit Ian Kou; Jie Du 001; Chen Li 058; Hongtao Wang 001; Chi-Man Vong (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Adversarial de-overlapping learning machines for supervised and semi-supervised learning. - Yichen Sun; Chi-Man Vong; Shitong Wang 001 (Int. J. Mach. Learn. Cybern., 2025)

Towards Precise Weakly Supervised Object Detection via Interactive Contrastive Learning of Context Information. - Qi Lai; Chi-Man Vong; Sai-Qi Shi; C. L. Philip Chen (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Stacked Ensemble of Extremely Interpretable Takagi-Sugeno-Kang Fuzzy Classifiers for High-Dimensional Data. - Yuchen Li; Erhao Zhou; Chi-Man Vong; Shitong Wang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Exploiting the Potential Supervision Information of Clean Samples in Partial Label Learning. - Guangtai Wang; Chi-Man Vong; Jintao Huang (CoRR, 2025)

Broad Multitask Learning System With Group Sparse Regularization. - Jintao Huang; Chuangquan Chen; Chi-Man Vong; Yiu-Ming Cheung (IEEE Trans. Neural Networks Learn. Syst., 2025)

3D Hand Mesh-Guided AI-Generated Malformed Hand Refinement with Hand Pose Transformation via Diffusion Model. - Chen-Bin Feng; Kangdao Liu; Jian Sun 010; Jiping Jin; Yiguo Jiang; Chi-Man Vong (CoRR, 2025)

Joint Prediction of SOH and RUL for Lithium Batteries Considering Capacity Self Recovery and Model Drift. - Zhen Jia; Zhifei Li; Zhengdong Wang; Zhenbao Liu; Chi-Man Vong (IEEE Internet Things J., 2025)

OE-BevSeg: An Object Informed and Environment Aware Multimodal Framework for Bird's-Eye-View Vehicle Semantic Segmentation. - Jian Sun 010; Yuqi Dai; Chi-Man Vong; Qing Xu 010; Shengbo Eben Li; Jian-Qiang Wang 003; Lei He; Keqiang Li (IEEE Trans. Intell. Transp. Syst., 2025)

Learning few-shot semantic segmentation with error-filtered segment anything model. - Chen-Bin Feng; Qi Lai; Kangdao Liu; Houcheng Su; Hao Chen; Kaixi Luo; Chi-Man Vong (Vis. Comput., 2025)